pyannote / speaker-segmentation

huggingface.co
Total runs: 109
24-hour runs: 0
7-day runs: -16
30-day runs: -527
Model's Last Updated: 5月 10 2024
automatic-speech-recognition

Introduction of speaker-segmentation

Model Details of speaker-segmentation

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🎹 Speaker segmentation

Relies on pyannote.audio 2.1: see installation instructions .

# 1. visit hf.co/pyannote/segmentation and accept user conditions
# 2. visit hf.co/settings/tokens to create an access token
# 3. instantiate pretrained speaker segmentation pipeline
from pyannote.audio import Pipeline
pipeline = Pipeline.from_pretrained("pyannote/speaker-segmentation")
output = pipeline("audio.wav")

for turn, _, speaker in output.itertracks(yield_label=True):
    # speaker speaks between turn.start and turn.end
    ...

⚠️ This pipeline does not address speaker diarization .

Support

For commercial enquiries and scientific consulting, please contact me .
For technical questions and bug reports , please check pyannote.audio Github repository.

Citation
@inproceedings{Bredin2021,
  Title = {{End-to-end speaker segmentation for overlap-aware resegmentation}},
  Author = {{Bredin}, Herv{\'e} and {Laurent}, Antoine},
  Booktitle = {Proc. Interspeech 2021},
  Address = {Brno, Czech Republic},
  Month = {August},
  Year = {2021},
@inproceedings{Bredin2020,
  Title = {{pyannote.audio: neural building blocks for speaker diarization}},
  Author = {{Bredin}, Herv{\'e} and {Yin}, Ruiqing and {Coria}, Juan Manuel and {Gelly}, Gregory and {Korshunov}, Pavel and {Lavechin}, Marvin and {Fustes}, Diego and {Titeux}, Hadrien and {Bouaziz}, Wassim and {Gill}, Marie-Philippe},
  Booktitle = {ICASSP 2020, IEEE International Conference on Acoustics, Speech, and Signal Processing},
  Address = {Barcelona, Spain},
  Month = {May},
  Year = {2020},
}

Runs of pyannote speaker-segmentation on huggingface.co

109
Total runs
0
24-hour runs
-1
3-day runs
-16
7-day runs
-527
30-day runs

More Information About speaker-segmentation huggingface.co Model

More speaker-segmentation license Visit here:

https://choosealicense.com/licenses/mit

speaker-segmentation huggingface.co

speaker-segmentation huggingface.co is an AI model on huggingface.co that provides speaker-segmentation's model effect (), which can be used instantly with this pyannote speaker-segmentation model. huggingface.co supports a free trial of the speaker-segmentation model, and also provides paid use of the speaker-segmentation. Support call speaker-segmentation model through api, including Node.js, Python, http.

speaker-segmentation huggingface.co Url

https://huggingface.co/pyannote/speaker-segmentation

pyannote speaker-segmentation online free

speaker-segmentation huggingface.co is an online trial and call api platform, which integrates speaker-segmentation's modeling effects, including api services, and provides a free online trial of speaker-segmentation, you can try speaker-segmentation online for free by clicking the link below.

pyannote speaker-segmentation online free url in huggingface.co:

https://huggingface.co/pyannote/speaker-segmentation

speaker-segmentation install

speaker-segmentation is an open source model from GitHub that offers a free installation service, and any user can find speaker-segmentation on GitHub to install. At the same time, huggingface.co provides the effect of speaker-segmentation install, users can directly use speaker-segmentation installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

speaker-segmentation install url in huggingface.co:

https://huggingface.co/pyannote/speaker-segmentation

Url of speaker-segmentation

speaker-segmentation huggingface.co Url

Provider of speaker-segmentation huggingface.co

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